Dataset statistics
| Number of variables | 27 |
|---|---|
| Number of observations | 9879 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 6.6 MiB |
| Average record size in memory | 698.5 B |
Variable types
| Numeric | 7 |
|---|---|
| Categorical | 17 |
| Text | 3 |
AverageSpeed is highly overall correlated with CircuitID | High correlation |
CircuitID is highly overall correlated with AverageSpeed and 2 other fields | High correlation |
ConstructorName is highly overall correlated with ConstructorNationality and 1 other fields | High correlation |
ConstructorNationality is highly overall correlated with ConstructorName and 1 other fields | High correlation |
DriverNationality is highly overall correlated with Nationality | High correlation |
Grid is highly overall correlated with Points and 1 other fields | High correlation |
Nationality is highly overall correlated with DriverNationality | High correlation |
Points is highly overall correlated with Grid and 1 other fields | High correlation |
Position is highly overall correlated with Grid and 1 other fields | High correlation |
Round is highly overall correlated with CircuitID and 1 other fields | High correlation |
Top3Last5Races is highly overall correlated with Top5Last10Races and 3 other fields | High correlation |
Top5Last10Races is highly overall correlated with Top3Last5Races | High correlation |
WonLast10Races is highly overall correlated with WonLast7Races | High correlation |
WonLast2Races is highly overall correlated with Top3Last5Races and 3 other fields | High correlation |
WonLast3Races is highly overall correlated with Top3Last5Races and 4 other fields | High correlation |
WonLast4Races is highly overall correlated with Top3Last5Races and 5 other fields | High correlation |
WonLast5Races is highly overall correlated with WonLast2Races and 4 other fields | High correlation |
WonLast6Races is highly overall correlated with WonLast3Races and 3 other fields | High correlation |
WonLast7Races is highly overall correlated with WonLast10Races and 3 other fields | High correlation |
constructorId is highly overall correlated with ConstructorName and 1 other fields | High correlation |
country is highly overall correlated with CircuitID and 1 other fields | High correlation |
WonLastRace is highly imbalanced (73.6%) | Imbalance |
WonLast2Races is highly imbalanced (56.6%) | Imbalance |
WonLast3Races is highly imbalanced (69.5%) | Imbalance |
WonLast4Races is highly imbalanced (76.9%) | Imbalance |
WonLast5Races is highly imbalanced (82.1%) | Imbalance |
WonLast6Races is highly imbalanced (86.2%) | Imbalance |
WonLast7Races is highly imbalanced (90.0%) | Imbalance |
WonLast10Races is highly imbalanced (95.9%) | Imbalance |
Top3Last5Races is highly imbalanced (50.6%) | Imbalance |
Top5Last10Races is highly imbalanced (67.3%) | Imbalance |
Points has 5641 (57.1%) zeros | Zeros |
AverageSpeed has 1819 (18.4%) zeros | Zeros |
DifferenceGridPosition has 1251 (12.7%) zeros | Zeros |
Reproduction
| Analysis started | 2024-08-13 00:03:19.870201 |
|---|---|
| Analysis finished | 2024-08-13 00:03:27.048085 |
| Duration | 7.18 seconds |
| Software version | ydata-profiling vv4.9.0 |
| Download configuration | config.json |
Season
Real number (ℝ)
| Distinct | 25 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2012.2261 |
| Minimum | 2000 |
|---|---|
| Maximum | 2024 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 77.3 KiB |
Quantile statistics
| Minimum | 2000 |
|---|---|
| 5-th percentile | 2001 |
| Q1 | 2006 |
| median | 2012 |
| Q3 | 2018 |
| 95-th percentile | 2023 |
| Maximum | 2024 |
| Range | 24 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 7.0447821 |
|---|---|
| Coefficient of variation (CV) | 0.0035009892 |
| Kurtosis | -1.1461237 |
| Mean | 2012.2261 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | -0.064265382 |
| Sum | 19878782 |
| Variance | 49.628954 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 2012 | 480 | 4.9% |
| 2016 | 462 | 4.7% |
| 2010 | 456 | 4.6% |
| 2011 | 456 | 4.6% |
| 2023 | 440 | 4.5% |
| 2022 | 440 | 4.5% |
| 2021 | 440 | 4.5% |
| 2018 | 420 | 4.3% |
| 2019 | 420 | 4.3% |
| 2013 | 418 | 4.2% |
| Other values (15) | 5447 |
| Value | Count | Frequency (%) |
| 2000 | 373 | |
| 2001 | 374 | |
| 2002 | 362 | |
| 2003 | 320 | |
| 2004 | 360 | |
| 2005 | 376 | |
| 2006 | 396 | |
| 2007 | 374 | |
| 2008 | 368 | |
| 2009 | 340 |
| Value | Count | Frequency (%) |
| 2024 | 279 | |
| 2023 | 440 | |
| 2022 | 440 | |
| 2021 | 440 | |
| 2020 | 340 | |
| 2019 | 420 | |
| 2018 | 420 | |
| 2017 | 400 | |
| 2016 | 462 | |
| 2015 | 378 |
Round
Real number (ℝ)
HIGH CORRELATION
| Distinct | 22 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.9654823 |
| Minimum | 1 |
|---|---|
| Maximum | 22 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 77.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 5 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 19 |
| Maximum | 22 |
| Range | 21 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 5.5804524 |
|---|---|
| Coefficient of variation (CV) | 0.55997815 |
| Kurtosis | -1.0649226 |
| Mean | 9.9654823 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.10585767 |
| Sum | 98449 |
| Variance | 31.141449 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=22)
| Value | Count | Frequency (%) |
| 4 | 530 | 5.4% |
| 2 | 530 | 5.4% |
| 3 | 529 | 5.4% |
| 1 | 528 | 5.3% |
| 11 | 528 | 5.3% |
| 7 | 528 | 5.3% |
| 8 | 528 | 5.3% |
| 9 | 528 | 5.3% |
| 10 | 527 | 5.3% |
| 12 | 527 | 5.3% |
| Other values (12) | 4596 |
| Value | Count | Frequency (%) |
| 1 | 528 | |
| 2 | 530 | |
| 3 | 529 | |
| 4 | 530 | |
| 5 | 526 | |
| 6 | 525 | |
| 7 | 528 | |
| 8 | 528 | |
| 9 | 528 | |
| 10 | 527 |
| Value | Count | Frequency (%) |
| 22 | 60 | 0.6% |
| 21 | 122 | 1.2% |
| 20 | 166 | 1.7% |
| 19 | 296 | |
| 18 | 356 | |
| 17 | 482 | |
| 16 | 505 | |
| 15 | 506 | |
| 14 | 526 | |
| 13 | 526 |
CircuitID
Categorical
HIGH CORRELATION
| Distinct | 38 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 554.1 KiB |
| silverstone | 547 |
|---|---|
| catalunya | 528 |
| hungaroring | 526 |
| monza | 506 |
| monaco | 506 |
| Other values (33) |
Length
| Max length | 14 |
|---|---|
| Median length | 12 |
| Mean length | 8.4233222 |
| Min length | 3 |
Characters and Unicode
| Total characters | 83214 |
|---|---|
| Distinct characters | 24 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | albert_park |
|---|---|
| 2nd row | albert_park |
| 3rd row | albert_park |
| 4th row | albert_park |
| 5th row | albert_park |
Common Values
| Value | Count | Frequency (%) |
| silverstone | 547 | 5.5% |
| catalunya | 528 | 5.3% |
| hungaroring | 526 | 5.3% |
| monza | 506 | 5.1% |
| monaco | 506 | 5.1% |
| albert_park | 487 | 4.9% |
| spa | 484 | 4.9% |
| interlagos | 484 | 4.9% |
| villeneuve | 468 | 4.7% |
| suzuka | 444 | 4.5% |
| Other values (28) | 4899 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| silverstone | 547 | 5.5% |
| catalunya | 528 | 5.3% |
| hungaroring | 526 | 5.3% |
| monza | 506 | 5.1% |
| monaco | 506 | 5.1% |
| albert_park | 487 | 4.9% |
| spa | 484 | 4.9% |
| interlagos | 484 | 4.9% |
| villeneuve | 468 | 4.7% |
| suzuka | 444 | 4.5% |
| Other values (28) | 4899 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 11582 | |
| n | 8339 | 10.0% |
| r | 6875 | 8.3% |
| i | 6553 | 7.9% |
| e | 5521 | 6.6% |
| o | 4639 | 5.6% |
| s | 4573 | 5.5% |
| l | 4502 | 5.4% |
| u | 4088 | 4.9% |
| g | 3933 | 4.7% |
| Other values (14) | 22609 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 81223 | |
| Connector Punctuation | 1991 | 2.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 11582 | |
| n | 8339 | |
| r | 6875 | 8.5% |
| i | 6553 | 8.1% |
| e | 5521 | 6.8% |
| o | 4639 | 5.7% |
| s | 4573 | 5.6% |
| l | 4502 | 5.5% |
| u | 4088 | 5.0% |
| g | 3933 | 4.8% |
| Other values (13) | 20618 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 1991 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 81223 | |
| Common | 1991 | 2.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 11582 | |
| n | 8339 | |
| r | 6875 | 8.5% |
| i | 6553 | 8.1% |
| e | 5521 | 6.8% |
| o | 4639 | 5.7% |
| s | 4573 | 5.6% |
| l | 4502 | 5.5% |
| u | 4088 | 5.0% |
| g | 3933 | 4.8% |
| Other values (13) | 20618 |
Common
| Value | Count | Frequency (%) |
| _ | 1991 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 83214 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 11582 | |
| n | 8339 | 10.0% |
| r | 6875 | 8.3% |
| i | 6553 | 7.9% |
| e | 5521 | 6.6% |
| o | 4639 | 5.6% |
| s | 4573 | 5.5% |
| l | 4502 | 5.4% |
| u | 4088 | 4.9% |
| g | 3933 | 4.7% |
| Other values (14) | 22609 |
country
Categorical
HIGH CORRELATION
| Distinct | 30 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 530.8 KiB |
| Italy | |
|---|---|
| Spain | 640 |
| Germany | 554 |
| UK | 547 |
| Hungary | 526 |
| Other values (25) |
Length
| Max length | 13 |
|---|---|
| Median length | 11 |
| Mean length | 6.0114384 |
| Min length | 2 |
Characters and Unicode
| Total characters | 59387 |
|---|---|
| Distinct characters | 41 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Australia |
|---|---|
| 2nd row | Australia |
| 3rd row | Australia |
| 4th row | Australia |
| 5th row | Australia |
Common Values
| Value | Count | Frequency (%) |
| Italy | 754 | 7.6% |
| Spain | 640 | 6.5% |
| Germany | 554 | 5.6% |
| UK | 547 | 5.5% |
| Hungary | 526 | 5.3% |
| Monaco | 506 | 5.1% |
| Australia | 487 | 4.9% |
| Japan | 486 | 4.9% |
| Brazil | 484 | 4.9% |
| Belgium | 484 | 4.9% |
| Other values (20) | 4411 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| italy | 754 | 7.6% |
| spain | 640 | 6.4% |
| germany | 554 | 5.6% |
| uk | 547 | 5.5% |
| hungary | 526 | 5.3% |
| monaco | 506 | 5.1% |
| australia | 487 | 4.9% |
| japan | 486 | 4.9% |
| brazil | 484 | 4.9% |
| belgium | 484 | 4.9% |
| Other values (22) | 4511 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 11195 | |
| n | 4842 | 8.2% |
| i | 4652 | 7.8% |
| r | 4057 | 6.8% |
| l | 2699 | 4.5% |
| y | 2416 | 4.1% |
| e | 2356 | 4.0% |
| u | 2322 | 3.9% |
| A | 1829 | 3.1% |
| t | 1791 | 3.0% |
| Other values (31) | 21228 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 47221 | |
| Uppercase Letter | 12066 | 20.3% |
| Space Separator | 100 | 0.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 11195 | |
| n | 4842 | |
| i | 4652 | |
| r | 4057 | 8.6% |
| l | 2699 | 5.7% |
| y | 2416 | 5.1% |
| e | 2356 | 5.0% |
| u | 2322 | 4.9% |
| t | 1791 | 3.8% |
| s | 1633 | 3.5% |
| Other values (12) | 9258 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 1829 | |
| S | 1492 | |
| B | 1408 | |
| U | 1337 | |
| M | 1058 | |
| C | 830 | |
| I | 824 | |
| K | 641 | 5.3% |
| G | 554 | 4.6% |
| H | 526 | 4.4% |
| Other values (8) | 1567 |
Space Separator
| Value | Count | Frequency (%) |
| 100 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 59287 | |
| Common | 100 | 0.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 11195 | |
| n | 4842 | 8.2% |
| i | 4652 | 7.8% |
| r | 4057 | 6.8% |
| l | 2699 | 4.6% |
| y | 2416 | 4.1% |
| e | 2356 | 4.0% |
| u | 2322 | 3.9% |
| A | 1829 | 3.1% |
| t | 1791 | 3.0% |
| Other values (30) | 21128 |
Common
| Value | Count | Frequency (%) |
| 100 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 59387 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 11195 | |
| n | 4842 | 8.2% |
| i | 4652 | 7.8% |
| r | 4057 | 6.8% |
| l | 2699 | 4.5% |
| y | 2416 | 4.1% |
| e | 2356 | 4.0% |
| u | 2322 | 3.9% |
| A | 1829 | 3.1% |
| t | 1791 | 3.0% |
| Other values (31) | 21228 |
ConstructorName
Categorical
HIGH CORRELATION
| Distinct | 38 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 549.4 KiB |
| Ferrari | |
|---|---|
| McLaren | |
| Williams | |
| Red Bull | |
| Sauber | |
| Other values (33) |
Length
| Max length | 14 |
|---|---|
| Median length | 12 |
| Mean length | 7.9355198 |
| Min length | 3 |
Characters and Unicode
| Total characters | 78395 |
|---|---|
| Distinct characters | 38 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Arrows |
|---|---|
| 2nd row | Arrows |
| 3rd row | BAR |
| 4th row | BAR |
| 5th row | Benetton |
Common Values
| Value | Count | Frequency (%) |
| Ferrari | 938 | 9.5% |
| McLaren | 938 | 9.5% |
| Williams | 937 | 9.5% |
| Red Bull | 768 | 7.8% |
| Sauber | 590 | 6.0% |
| Mercedes | 590 | 6.0% |
| Renault | 556 | 5.6% |
| Toro Rosso | 536 | 5.4% |
| Force India | 424 | 4.3% |
| Haas F1 Team | 360 | 3.6% |
| Other values (28) | 3242 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ferrari | 938 | 6.9% |
| mclaren | 938 | 6.9% |
| williams | 937 | 6.9% |
| red | 768 | 5.6% |
| bull | 768 | 5.6% |
| sauber | 730 | 5.4% |
| f1 | 702 | 5.2% |
| mercedes | 590 | 4.3% |
| renault | 556 | 4.1% |
| team | 548 | 4.0% |
| Other values (35) | 6130 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 8417 | 10.7% |
| r | 7878 | 10.0% |
| e | 7408 | 9.4% |
| i | 4703 | 6.0% |
| o | 4629 | 5.9% |
| l | 4500 | 5.7% |
| s | 3882 | 5.0% |
| 3726 | 4.8% | |
| n | 3394 | 4.3% |
| u | 2963 | 3.8% |
| Other values (28) | 26895 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 58238 | |
| Uppercase Letter | 15693 | 20.0% |
| Space Separator | 3726 | 4.8% |
| Decimal Number | 738 | 0.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 8417 | |
| r | 7878 | |
| e | 7408 | |
| i | 4703 | |
| o | 4629 | |
| l | 4500 | |
| s | 3882 | |
| n | 3394 | |
| u | 2963 | 5.1% |
| d | 2302 | 4.0% |
| Other values (11) | 8162 |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 2492 | |
| M | 2335 | |
| F | 2100 | |
| T | 1646 | |
| B | 1242 | |
| L | 1168 | |
| W | 1077 | |
| A | 1068 | |
| S | 850 | 5.4% |
| H | 582 | 3.7% |
| Other values (5) | 1133 |
Space Separator
| Value | Count | Frequency (%) |
| 3726 |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 738 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 73931 | |
| Common | 4464 | 5.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 8417 | 11.4% |
| r | 7878 | 10.7% |
| e | 7408 | 10.0% |
| i | 4703 | 6.4% |
| o | 4629 | 6.3% |
| l | 4500 | 6.1% |
| s | 3882 | 5.3% |
| n | 3394 | 4.6% |
| u | 2963 | 4.0% |
| R | 2492 | 3.4% |
| Other values (26) | 23665 |
Common
| Value | Count | Frequency (%) |
| 3726 | ||
| 1 | 738 | 16.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 78395 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 8417 | 10.7% |
| r | 7878 | 10.0% |
| e | 7408 | 9.4% |
| i | 4703 | 6.0% |
| o | 4629 | 5.9% |
| l | 4500 | 5.7% |
| s | 3882 | 5.0% |
| 3726 | 4.8% | |
| n | 3394 | 4.3% |
| u | 2963 | 3.8% |
| Other values (28) | 26895 |
constructorId
Categorical
HIGH CORRELATION
| Distinct | 38 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 543.7 KiB |
| ferrari | |
|---|---|
| mclaren | |
| williams | |
| red_bull | |
| sauber | |
| Other values (33) |
Length
| Max length | 12 |
|---|---|
| Median length | 11 |
| Mean length | 7.3482134 |
| Min length | 2 |
Characters and Unicode
| Total characters | 72593 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | arrows |
|---|---|
| 2nd row | arrows |
| 3rd row | bar |
| 4th row | bar |
| 5th row | benetton |
Common Values
| Value | Count | Frequency (%) |
| ferrari | 938 | 9.5% |
| mclaren | 938 | 9.5% |
| williams | 937 | 9.5% |
| red_bull | 768 | 7.8% |
| sauber | 590 | 6.0% |
| mercedes | 590 | 6.0% |
| renault | 556 | 5.6% |
| toro_rosso | 536 | 5.4% |
| force_india | 424 | 4.3% |
| haas | 360 | 3.6% |
| Other values (28) | 3242 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ferrari | 938 | 9.5% |
| mclaren | 938 | 9.5% |
| williams | 937 | 9.5% |
| red_bull | 768 | 7.8% |
| sauber | 590 | 6.0% |
| mercedes | 590 | 6.0% |
| renault | 556 | 5.6% |
| toro_rosso | 536 | 5.4% |
| force_india | 424 | 4.3% |
| haas | 360 | 3.6% |
| Other values (28) | 3242 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 10160 | |
| a | 8857 | |
| e | 6652 | 9.2% |
| l | 5668 | 7.8% |
| i | 5125 | 7.1% |
| s | 4576 | 6.3% |
| o | 4213 | 5.8% |
| n | 3470 | 4.8% |
| m | 3306 | 4.6% |
| u | 2885 | 4.0% |
| Other values (15) | 17681 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 69983 | |
| Connector Punctuation | 2420 | 3.3% |
| Decimal Number | 190 | 0.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 10160 | |
| a | 8857 | |
| e | 6652 | |
| l | 5668 | 8.1% |
| i | 5125 | 7.3% |
| s | 4576 | 6.5% |
| o | 4213 | 6.0% |
| n | 3470 | 5.0% |
| m | 3306 | 4.7% |
| u | 2885 | 4.1% |
| Other values (13) | 15071 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 2420 |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 190 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 69983 | |
| Common | 2610 | 3.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 10160 | |
| a | 8857 | |
| e | 6652 | |
| l | 5668 | 8.1% |
| i | 5125 | 7.3% |
| s | 4576 | 6.5% |
| o | 4213 | 6.0% |
| n | 3470 | 5.0% |
| m | 3306 | 4.7% |
| u | 2885 | 4.1% |
| Other values (13) | 15071 |
Common
| Value | Count | Frequency (%) |
| _ | 2420 | |
| 1 | 190 | 7.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 72593 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 10160 | |
| a | 8857 | |
| e | 6652 | 9.2% |
| l | 5668 | 7.8% |
| i | 5125 | 7.1% |
| s | 4576 | 6.3% |
| o | 4213 | 5.8% |
| n | 3470 | 4.8% |
| m | 3306 | 4.6% |
| u | 2885 | 4.0% |
| Other values (15) | 17681 |
ConstructorNationality
Categorical
HIGH CORRELATION
| Distinct | 14 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 538.4 KiB |
| British | |
|---|---|
| Italian | |
| Swiss | |
| French | |
| Austrian | |
| Other values (9) |
Length
| Max length | 9 |
|---|---|
| Median length | 7 |
| Mean length | 6.7909707 |
| Min length | 5 |
Characters and Unicode
| Total characters | 67088 |
|---|---|
| Distinct characters | 26 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | British |
|---|---|
| 2nd row | British |
| 3rd row | British |
| 4th row | British |
| 5th row | Italian |
Common Values
| Value | Count | Frequency (%) |
| British | 2919 | |
| Italian | 1942 | |
| Swiss | 798 | 8.1% |
| French | 783 | 7.9% |
| Austrian | 768 | 7.8% |
| German | 730 | 7.4% |
| Japanese | 464 | 4.7% |
| Indian | 424 | 4.3% |
| American | 360 | 3.6% |
| Irish | 208 | 2.1% |
| Other values (4) | 483 | 4.9% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| british | 2919 | |
| italian | 1942 | |
| swiss | 798 | 8.1% |
| french | 783 | 7.9% |
| austrian | 768 | 7.8% |
| german | 730 | 7.4% |
| japanese | 464 | 4.7% |
| indian | 424 | 4.3% |
| american | 360 | 3.6% |
| irish | 208 | 2.1% |
| Other values (4) | 483 | 4.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 10779 | |
| a | 7911 | |
| s | 6533 | |
| n | 6336 | |
| r | 5768 | |
| t | 5671 | |
| h | 4068 | 6.1% |
| B | 2919 | 4.4% |
| e | 2801 | 4.2% |
| I | 2574 | 3.8% |
| Other values (16) | 11728 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 57209 | |
| Uppercase Letter | 9879 | 14.7% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 10779 | |
| a | 7911 | |
| s | 6533 | |
| n | 6336 | |
| r | 5768 | |
| t | 5671 | |
| h | 4068 | 7.1% |
| e | 2801 | 4.9% |
| l | 2130 | 3.7% |
| c | 1185 | 2.1% |
| Other values (6) | 4027 | 7.0% |
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 2919 | |
| I | 2574 | |
| A | 1128 | 11.4% |
| S | 914 | 9.3% |
| F | 783 | 7.9% |
| G | 730 | 7.4% |
| J | 464 | 4.7% |
| M | 188 | 1.9% |
| R | 137 | 1.4% |
| D | 42 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 67088 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 10779 | |
| a | 7911 | |
| s | 6533 | |
| n | 6336 | |
| r | 5768 | |
| t | 5671 | |
| h | 4068 | 6.1% |
| B | 2919 | 4.4% |
| e | 2801 | 4.2% |
| I | 2574 | 3.8% |
| Other values (16) | 11728 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 67088 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 10779 | |
| a | 7911 | |
| s | 6533 | |
| n | 6336 | |
| r | 5768 | |
| t | 5671 | |
| h | 4068 | 6.1% |
| B | 2919 | 4.4% |
| e | 2801 | 4.2% |
| I | 2574 | 3.8% |
| Other values (16) | 11728 |
DriverID
Text
| Distinct | 124 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 546.5 KiB |
Length
| Max length | 18 |
|---|---|
| Median length | 15 |
| Mean length | 7.6299221 |
| Min length | 3 |
Characters and Unicode
| Total characters | 75376 |
|---|---|
| Distinct characters | 27 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | rosa |
|---|---|
| 2nd row | verstappen |
| 3rd row | villeneuve |
| 4th row | zonta |
| 5th row | fisichella |
| Value | Count | Frequency (%) |
| alonso | 394 | 4.0% |
| raikkonen | 352 | 3.6% |
| hamilton | 346 | 3.5% |
| button | 309 | 3.1% |
| vettel | 300 | 3.0% |
| perez | 273 | 2.8% |
| massa | 271 | 2.7% |
| ricciardo | 253 | 2.6% |
| bottas | 237 | 2.4% |
| hulkenberg | 220 | 2.2% |
| Other values (114) | 6924 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 7405 | 9.8% |
| a | 7240 | 9.6% |
| r | 5892 | 7.8% |
| n | 5684 | 7.5% |
| o | 5649 | 7.5% |
| l | 5418 | 7.2% |
| i | 5202 | 6.9% |
| s | 4982 | 6.6% |
| t | 4096 | 5.4% |
| c | 2868 | 3.8% |
| Other values (17) | 20940 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 74460 | |
| Connector Punctuation | 916 | 1.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 7405 | 9.9% |
| a | 7240 | 9.7% |
| r | 5892 | 7.9% |
| n | 5684 | 7.6% |
| o | 5649 | 7.6% |
| l | 5418 | 7.3% |
| i | 5202 | 7.0% |
| s | 4982 | 6.7% |
| t | 4096 | 5.5% |
| c | 2868 | 3.9% |
| Other values (16) | 20024 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 916 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 74460 | |
| Common | 916 | 1.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 7405 | 9.9% |
| a | 7240 | 9.7% |
| r | 5892 | 7.9% |
| n | 5684 | 7.6% |
| o | 5649 | 7.6% |
| l | 5418 | 7.3% |
| i | 5202 | 7.0% |
| s | 4982 | 6.7% |
| t | 4096 | 5.5% |
| c | 2868 | 3.9% |
| Other values (16) | 20024 |
Common
| Value | Count | Frequency (%) |
| _ | 916 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 75376 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 7405 | 9.8% |
| a | 7240 | 9.6% |
| r | 5892 | 7.8% |
| n | 5684 | 7.5% |
| o | 5649 | 7.5% |
| l | 5418 | 7.2% |
| i | 5202 | 6.9% |
| s | 4982 | 6.6% |
| t | 4096 | 5.4% |
| c | 2868 | 3.8% |
| Other values (17) | 20940 |
DriverName
Text
| Distinct | 113 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 535.4 KiB |
Length
| Max length | 12 |
|---|---|
| Median length | 10 |
| Mean length | 5.9385565 |
| Min length | 3 |
Characters and Unicode
| Total characters | 58667 |
|---|---|
| Distinct characters | 55 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | Pedro |
|---|---|
| 2nd row | Jos |
| 3rd row | Jacques |
| 4th row | Ricardo |
| 5th row | Giancarlo |
| Value | Count | Frequency (%) |
| nico | 426 | 4.3% |
| fernando | 394 | 4.0% |
| kimi | 352 | 3.6% |
| lewis | 346 | 3.5% |
| felipe | 311 | 3.1% |
| jenson | 309 | 3.1% |
| sebastian | 300 | 3.0% |
| sergio | 273 | 2.8% |
| daniel | 253 | 2.6% |
| valtteri | 237 | 2.4% |
| Other values (103) | 6678 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 6475 | 11.0% |
| i | 6423 | 10.9% |
| e | 5737 | 9.8% |
| n | 5091 | 8.7% |
| o | 3801 | 6.5% |
| r | 3634 | 6.2% |
| s | 2593 | 4.4% |
| l | 2522 | 4.3% |
| t | 1922 | 3.3% |
| c | 1701 | 2.9% |
| Other values (45) | 18768 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 48550 | |
| Uppercase Letter | 9998 | 17.0% |
| Dash Punctuation | 119 | 0.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 6475 | |
| i | 6423 | |
| e | 5737 | |
| n | 5091 | |
| o | 3801 | |
| r | 3634 | |
| s | 2593 | 5.3% |
| l | 2522 | 5.2% |
| t | 1922 | 4.0% |
| c | 1701 | 3.5% |
| Other values (21) | 8651 |
Uppercase Letter
| Value | Count | Frequency (%) |
| J | 1027 | 10.3% |
| M | 861 | 8.6% |
| N | 785 | 7.9% |
| S | 767 | 7.7% |
| F | 712 | 7.1% |
| R | 698 | 7.0% |
| L | 698 | 7.0% |
| K | 653 | 6.5% |
| D | 522 | 5.2% |
| C | 501 | 5.0% |
| Other values (13) | 2774 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 119 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 58548 | |
| Common | 119 | 0.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 6475 | 11.1% |
| i | 6423 | 11.0% |
| e | 5737 | 9.8% |
| n | 5091 | 8.7% |
| o | 3801 | 6.5% |
| r | 3634 | 6.2% |
| s | 2593 | 4.4% |
| l | 2522 | 4.3% |
| t | 1922 | 3.3% |
| c | 1701 | 2.9% |
| Other values (44) | 18649 |
Common
| Value | Count | Frequency (%) |
| - | 119 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 58439 | |
| None | 228 | 0.4% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 6475 | 11.1% |
| i | 6423 | 11.0% |
| e | 5737 | 9.8% |
| n | 5091 | 8.7% |
| o | 3801 | 6.5% |
| r | 3634 | 6.2% |
| s | 2593 | 4.4% |
| l | 2522 | 4.3% |
| t | 1922 | 3.3% |
| c | 1701 | 2.9% |
| Other values (39) | 18540 |
None
| Value | Count | Frequency (%) |
| é | 103 | |
| É | 58 | |
| ô | 40 | 17.5% |
| ó | 21 | 9.2% |
| á | 3 | 1.3% |
| š | 3 | 1.3% |
DriverNationality
Categorical
HIGH CORRELATION
| Distinct | 34 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 541.8 KiB |
| German | |
|---|---|
| British | |
| Finnish | |
| Brazilian | |
| Spanish | |
| Other values (29) |
Length
| Max length | 13 |
|---|---|
| Median length | 10 |
| Mean length | 7.1424233 |
| Min length | 4 |
Characters and Unicode
| Total characters | 70560 |
|---|---|
| Distinct characters | 40 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Spanish |
|---|---|
| 2nd row | Dutch |
| 3rd row | Canadian |
| 4th row | Brazilian |
| 5th row | Italian |
Common Values
| Value | Count | Frequency (%) |
| German | 1590 | |
| British | 1324 | |
| Finnish | 769 | 7.8% |
| Brazilian | 766 | 7.8% |
| Spanish | 762 | 7.7% |
| French | 738 | 7.5% |
| Italian | 561 | 5.7% |
| Australian | 506 | 5.1% |
| Dutch | 336 | 3.4% |
| Mexican | 332 | 3.4% |
| Other values (24) | 2195 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| german | 1590 | |
| british | 1324 | |
| finnish | 769 | 7.8% |
| brazilian | 766 | 7.7% |
| spanish | 762 | 7.7% |
| french | 738 | 7.4% |
| italian | 561 | 5.7% |
| australian | 506 | 5.1% |
| dutch | 336 | 3.4% |
| mexican | 332 | 3.4% |
| Other values (25) | 2225 |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 9461 | |
| a | 9189 | |
| n | 9127 | |
| r | 5210 | 7.4% |
| s | 4956 | 7.0% |
| h | 4478 | 6.3% |
| e | 4406 | 6.2% |
| t | 2881 | 4.1% |
| l | 2231 | 3.2% |
| B | 2152 | 3.0% |
| Other values (30) | 16469 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 60621 | |
| Uppercase Letter | 9909 | 14.0% |
| Space Separator | 30 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 9461 | |
| a | 9189 | |
| n | 9127 | |
| r | 5210 | |
| s | 4956 | |
| h | 4478 | |
| e | 4406 | |
| t | 2881 | 4.8% |
| l | 2231 | 3.7% |
| m | 1753 | 2.9% |
| Other values (12) | 6929 |
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 2152 | |
| G | 1590 | |
| F | 1507 | |
| S | 914 | |
| A | 691 | 7.0% |
| I | 646 | 6.5% |
| D | 519 | 5.2% |
| M | 487 | 4.9% |
| C | 475 | 4.8% |
| J | 308 | 3.1% |
| Other values (7) | 620 | 6.3% |
Space Separator
| Value | Count | Frequency (%) |
| 30 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 70530 | |
| Common | 30 | < 0.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 9461 | |
| a | 9189 | |
| n | 9127 | |
| r | 5210 | 7.4% |
| s | 4956 | 7.0% |
| h | 4478 | 6.3% |
| e | 4406 | 6.2% |
| t | 2881 | 4.1% |
| l | 2231 | 3.2% |
| B | 2152 | 3.1% |
| Other values (29) | 16439 |
Common
| Value | Count | Frequency (%) |
| 30 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 70560 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 9461 | |
| a | 9189 | |
| n | 9127 | |
| r | 5210 | 7.4% |
| s | 4956 | 7.0% |
| h | 4478 | 6.3% |
| e | 4406 | 6.2% |
| t | 2881 | 4.1% |
| l | 2231 | 3.2% |
| B | 2152 | 3.0% |
| Other values (30) | 16469 |
Nationality
Categorical
HIGH CORRELATION
| Distinct | 34 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 541.8 KiB |
| German | |
|---|---|
| British | |
| Finnish | |
| Brazilian | |
| Spanish | |
| Other values (29) |
Length
| Max length | 13 |
|---|---|
| Median length | 10 |
| Mean length | 7.1424233 |
| Min length | 4 |
Characters and Unicode
| Total characters | 70560 |
|---|---|
| Distinct characters | 40 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Spanish |
|---|---|
| 2nd row | Dutch |
| 3rd row | Canadian |
| 4th row | Brazilian |
| 5th row | Italian |
Common Values
| Value | Count | Frequency (%) |
| German | 1590 | |
| British | 1324 | |
| Finnish | 769 | 7.8% |
| Brazilian | 766 | 7.8% |
| Spanish | 762 | 7.7% |
| French | 738 | 7.5% |
| Italian | 561 | 5.7% |
| Australian | 506 | 5.1% |
| Dutch | 336 | 3.4% |
| Mexican | 332 | 3.4% |
| Other values (24) | 2195 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| german | 1590 | |
| british | 1324 | |
| finnish | 769 | 7.8% |
| brazilian | 766 | 7.7% |
| spanish | 762 | 7.7% |
| french | 738 | 7.4% |
| italian | 561 | 5.7% |
| australian | 506 | 5.1% |
| dutch | 336 | 3.4% |
| mexican | 332 | 3.4% |
| Other values (25) | 2225 |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 9461 | |
| a | 9189 | |
| n | 9127 | |
| r | 5210 | 7.4% |
| s | 4956 | 7.0% |
| h | 4478 | 6.3% |
| e | 4406 | 6.2% |
| t | 2881 | 4.1% |
| l | 2231 | 3.2% |
| B | 2152 | 3.0% |
| Other values (30) | 16469 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 60621 | |
| Uppercase Letter | 9909 | 14.0% |
| Space Separator | 30 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 9461 | |
| a | 9189 | |
| n | 9127 | |
| r | 5210 | |
| s | 4956 | |
| h | 4478 | |
| e | 4406 | |
| t | 2881 | 4.8% |
| l | 2231 | 3.7% |
| m | 1753 | 2.9% |
| Other values (12) | 6929 |
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 2152 | |
| G | 1590 | |
| F | 1507 | |
| S | 914 | |
| A | 691 | 7.0% |
| I | 646 | 6.5% |
| D | 519 | 5.2% |
| M | 487 | 4.9% |
| C | 475 | 4.8% |
| J | 308 | 3.1% |
| Other values (7) | 620 | 6.3% |
Space Separator
| Value | Count | Frequency (%) |
| 30 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 70530 | |
| Common | 30 | < 0.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 9461 | |
| a | 9189 | |
| n | 9127 | |
| r | 5210 | 7.4% |
| s | 4956 | 7.0% |
| h | 4478 | 6.3% |
| e | 4406 | 6.2% |
| t | 2881 | 4.1% |
| l | 2231 | 3.2% |
| B | 2152 | 3.1% |
| Other values (29) | 16439 |
Common
| Value | Count | Frequency (%) |
| 30 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 70560 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 9461 | |
| a | 9189 | |
| n | 9127 | |
| r | 5210 | 7.4% |
| s | 4956 | 7.0% |
| h | 4478 | 6.3% |
| e | 4406 | 6.2% |
| t | 2881 | 4.1% |
| l | 2231 | 3.2% |
| B | 2152 | 3.0% |
| Other values (30) | 16469 |
Position
Real number (ℝ)
HIGH CORRELATION
| Distinct | 24 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.081081 |
| Minimum | 1 |
|---|---|
| Maximum | 24 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 77.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 6 |
| median | 11 |
| Q3 | 16 |
| 95-th percentile | 21 |
| Maximum | 24 |
| Range | 23 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 6.1614905 |
|---|---|
| Coefficient of variation (CV) | 0.55603695 |
| Kurtosis | -1.1269268 |
| Mean | 11.081081 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.05152827 |
| Sum | 109470 |
| Variance | 37.963966 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 11 | 469 | 4.7% |
| 14 | 469 | 4.7% |
| 9 | 469 | 4.7% |
| 16 | 469 | 4.7% |
| 13 | 469 | 4.7% |
| 8 | 469 | 4.7% |
| 17 | 469 | 4.7% |
| 18 | 469 | 4.7% |
| 15 | 469 | 4.7% |
| 12 | 469 | 4.7% |
| Other values (14) | 5189 |
| Value | Count | Frequency (%) |
| 1 | 469 | |
| 2 | 469 | |
| 3 | 469 | |
| 4 | 469 | |
| 5 | 469 | |
| 6 | 469 | |
| 7 | 469 | |
| 8 | 469 | |
| 9 | 469 | |
| 10 | 469 |
| Value | Count | Frequency (%) |
| 24 | 58 | 0.6% |
| 23 | 58 | 0.6% |
| 22 | 195 | |
| 21 | 199 | |
| 20 | 463 | |
| 19 | 464 | |
| 18 | 469 | |
| 17 | 469 | |
| 16 | 469 | |
| 15 | 469 |
Points
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 30 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.6493572 |
| Minimum | 0 |
|---|---|
| Maximum | 50 |
| Zeros | 5641 |
| Zeros (%) | 57.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 77.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 6 |
| 95-th percentile | 18 |
| Maximum | 50 |
| Range | 50 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 6.113076 |
|---|---|
| Coefficient of variation (CV) | 1.6751103 |
| Kurtosis | 3.5194619 |
| Mean | 3.6493572 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.9649679 |
| Sum | 36052 |
| Variance | 37.369698 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=30)
| Value | Count | Frequency (%) |
| 0 | 5641 | |
| 2 | 467 | 4.7% |
| 1 | 466 | 4.7% |
| 4 | 465 | 4.7% |
| 6 | 459 | 4.6% |
| 10 | 458 | 4.6% |
| 8 | 411 | 4.2% |
| 12 | 284 | 2.9% |
| 15 | 283 | 2.9% |
| 18 | 270 | 2.7% |
| Other values (20) | 675 | 6.8% |
| Value | Count | Frequency (%) |
| 0 | 5641 | |
| 0.5 | 2 | < 0.1% |
| 1 | 466 | 4.7% |
| 1.5 | 1 | < 0.1% |
| 2 | 467 | 4.7% |
| 2.5 | 1 | < 0.1% |
| 3 | 177 | 1.8% |
| 4 | 465 | 4.7% |
| 5 | 128 | 1.3% |
| 6 | 459 | 4.6% |
| Value | Count | Frequency (%) |
| 50 | 1 | < 0.1% |
| 36 | 1 | < 0.1% |
| 30 | 1 | < 0.1% |
| 26 | 35 | 0.4% |
| 25 | 258 | |
| 24 | 1 | < 0.1% |
| 20 | 1 | < 0.1% |
| 19 | 23 | 0.2% |
| 18 | 270 | |
| 16 | 11 | 0.1% |
Grid
Real number (ℝ)
HIGH CORRELATION
| Distinct | 25 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.916793 |
| Minimum | 0 |
|---|---|
| Maximum | 24 |
| Zeros | 87 |
| Zeros (%) | 0.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 77.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 11 |
| Q3 | 16 |
| 95-th percentile | 21 |
| Maximum | 24 |
| Range | 24 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 6.1934758 |
|---|---|
| Coefficient of variation (CV) | 0.56733471 |
| Kurtosis | -1.1149908 |
| Mean | 10.916793 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.054933939 |
| Sum | 107847 |
| Variance | 38.359142 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 17 | 470 | 4.8% |
| 9 | 469 | 4.7% |
| 4 | 469 | 4.7% |
| 3 | 469 | 4.7% |
| 5 | 469 | 4.7% |
| 6 | 469 | 4.7% |
| 1 | 469 | 4.7% |
| 12 | 468 | 4.7% |
| 8 | 468 | 4.7% |
| 14 | 468 | 4.7% |
| Other values (15) | 5191 |
| Value | Count | Frequency (%) |
| 0 | 87 | 0.9% |
| 1 | 469 | |
| 2 | 467 | |
| 3 | 469 | |
| 4 | 469 | |
| 5 | 469 | |
| 6 | 469 | |
| 7 | 468 | |
| 8 | 468 | |
| 9 | 469 |
| Value | Count | Frequency (%) |
| 24 | 54 | 0.5% |
| 23 | 56 | 0.6% |
| 22 | 190 | |
| 21 | 195 | |
| 20 | 418 | |
| 19 | 456 | |
| 18 | 464 | |
| 17 | 470 | |
| 16 | 467 | |
| 15 | 467 |
Status
Text
| Distinct | 104 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 546.1 KiB |
Length
| Max length | 16 |
|---|---|
| Median length | 8 |
| Mean length | 7.5883187 |
| Min length | 3 |
Characters and Unicode
| Total characters | 74965 |
|---|---|
| Distinct characters | 58 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 27 ? |
|---|---|
| Unique (%) | 0.3% |
Sample
| 1st row | Suspension |
|---|---|
| 2nd row | Suspension |
| 3rd row | Finished |
| 4th row | Finished |
| 5th row | Finished |
| Value | Count | Frequency (%) |
| finished | 4579 | |
| lap | 2218 | |
| 1 | 2218 | |
| laps | 780 | 5.9% |
| 2 | 530 | 4.0% |
| collision | 464 | 3.5% |
| engine | 304 | 2.3% |
| accident | 259 | 2.0% |
| gearbox | 157 | 1.2% |
| 3 | 143 | 1.1% |
| Other values (102) | 1626 | 12.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 11426 | |
| s | 6558 | 8.7% |
| n | 6492 | 8.7% |
| e | 6359 | 8.5% |
| d | 5175 | 6.9% |
| h | 4765 | 6.4% |
| F | 4626 | 6.2% |
| a | 3851 | 5.1% |
| 3399 | 4.5% | |
| p | 3263 | 4.4% |
| Other values (48) | 19051 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 55621 | |
| Uppercase Letter | 9931 | 13.2% |
| Space Separator | 3399 | 4.5% |
| Decimal Number | 3014 | 4.0% |
| Math Symbol | 2998 | 4.0% |
| Other Punctuation | 2 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 11426 | |
| s | 6558 | |
| n | 6492 | |
| e | 6359 | |
| d | 5175 | |
| h | 4765 | |
| a | 3851 | 6.9% |
| p | 3263 | 5.9% |
| o | 1478 | 2.7% |
| l | 1466 | 2.6% |
| Other values (15) | 4788 |
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 4626 | |
| L | 2999 | |
| C | 487 | 4.9% |
| E | 390 | 3.9% |
| A | 263 | 2.6% |
| S | 238 | 2.4% |
| G | 157 | 1.6% |
| H | 122 | 1.2% |
| B | 106 | 1.1% |
| R | 93 | 0.9% |
| Other values (10) | 450 | 4.5% |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 2231 | |
| 2 | 533 | 17.7% |
| 3 | 143 | 4.7% |
| 4 | 65 | 2.2% |
| 5 | 19 | 0.6% |
| 6 | 8 | 0.3% |
| 7 | 6 | 0.2% |
| 0 | 4 | 0.1% |
| 8 | 3 | 0.1% |
| 9 | 2 | 0.1% |
Space Separator
| Value | Count | Frequency (%) |
| 3399 |
Math Symbol
| Value | Count | Frequency (%) |
| + | 2998 |
Other Punctuation
| Value | Count | Frequency (%) |
| % | 2 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 65552 | |
| Common | 9413 | 12.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 11426 | |
| s | 6558 | |
| n | 6492 | |
| e | 6359 | |
| d | 5175 | |
| h | 4765 | |
| F | 4626 | |
| a | 3851 | 5.9% |
| p | 3263 | 5.0% |
| L | 2999 | 4.6% |
| Other values (35) | 10038 |
Common
| Value | Count | Frequency (%) |
| 3399 | ||
| + | 2998 | |
| 1 | 2231 | |
| 2 | 533 | 5.7% |
| 3 | 143 | 1.5% |
| 4 | 65 | 0.7% |
| 5 | 19 | 0.2% |
| 6 | 8 | 0.1% |
| 7 | 6 | 0.1% |
| 0 | 4 | < 0.1% |
| Other values (3) | 7 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 74965 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 11426 | |
| s | 6558 | 8.7% |
| n | 6492 | 8.7% |
| e | 6359 | 8.5% |
| d | 5175 | 6.9% |
| h | 4765 | 6.4% |
| F | 4626 | 6.2% |
| a | 3851 | 5.1% |
| 3399 | 4.5% | |
| p | 3263 | 4.4% |
| Other values (48) | 19051 |
AverageSpeed
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 7551 |
|---|---|
| Distinct (%) | 76.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 166.41417 |
| Minimum | 0 |
|---|---|
| Maximum | 257.32 |
| Zeros | 1819 |
| Zeros (%) | 18.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 77.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 169.427 |
| median | 200.202 |
| Q3 | 213.935 |
| 95-th percentile | 235.2158 |
| Maximum | 257.32 |
| Range | 257.32 |
| Interquartile range (IQR) | 44.508 |
Descriptive statistics
| Standard deviation | 81.383176 |
|---|---|
| Coefficient of variation (CV) | 0.48903994 |
| Kurtosis | 0.32863497 |
| Mean | 166.41417 |
| Median Absolute Deviation (MAD) | 16.251 |
| Skewness | -1.4254981 |
| Sum | 1644005.6 |
| Variance | 6623.2214 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1819 | 18.4% |
| 207.069 | 4 | < 0.1% |
| 204.946 | 3 | < 0.1% |
| 189.423 | 3 | < 0.1% |
| 196.785 | 3 | < 0.1% |
| 201.527 | 3 | < 0.1% |
| 200.363 | 3 | < 0.1% |
| 188.806 | 3 | < 0.1% |
| 222.592 | 3 | < 0.1% |
| 202.685 | 3 | < 0.1% |
| Other values (7541) | 8032 |
| Value | Count | Frequency (%) |
| 0 | 1819 | |
| 89.54 | 1 | < 0.1% |
| 91.61 | 1 | < 0.1% |
| 100.615 | 1 | < 0.1% |
| 101.399 | 1 | < 0.1% |
| 101.884 | 1 | < 0.1% |
| 108.41 | 1 | < 0.1% |
| 112.116 | 1 | < 0.1% |
| 117.753 | 1 | < 0.1% |
| 118.872 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 257.32 | 1 | |
| 256.324 | 1 | |
| 255.874 | 1 | |
| 255.014 | 1 | |
| 254.861 | 1 | |
| 253.874 | 1 | |
| 253.566 | 1 | |
| 252.794 | 1 | |
| 252.77 | 1 | |
| 252.604 | 1 |
DifferenceGridPosition
Real number (ℝ)
ZEROS
| Distinct | 45 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -0.16428788 |
| Minimum | -24 |
|---|---|
| Maximum | 21 |
| Zeros | 1251 |
| Zeros (%) | 12.7% |
| Negative | 3765 |
| Negative (%) | 38.1% |
| Memory size | 77.3 KiB |
Quantile statistics
| Minimum | -24 |
|---|---|
| 5-th percentile | -12 |
| Q1 | -2 |
| median | 0 |
| Q3 | 3 |
| 95-th percentile | 8 |
| Maximum | 21 |
| Range | 45 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 5.825918 |
|---|---|
| Coefficient of variation (CV) | -35.461641 |
| Kurtosis | 1.4797805 |
| Mean | -0.16428788 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.76937568 |
| Sum | -1623 |
| Variance | 33.94132 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=45)
| Value | Count | Frequency (%) |
| 0 | 1251 | |
| 1 | 1039 | 10.5% |
| 2 | 877 | 8.9% |
| -1 | 778 | 7.9% |
| 3 | 666 | 6.7% |
| 4 | 586 | 5.9% |
| -2 | 554 | 5.6% |
| 5 | 477 | 4.8% |
| -3 | 434 | 4.4% |
| 6 | 344 | 3.5% |
| Other values (35) | 2873 |
| Value | Count | Frequency (%) |
| -24 | 4 | < 0.1% |
| -23 | 4 | < 0.1% |
| -22 | 7 | 0.1% |
| -21 | 4 | < 0.1% |
| -20 | 22 | 0.2% |
| -19 | 24 | 0.2% |
| -18 | 40 | |
| -17 | 49 | |
| -16 | 69 | |
| -15 | 70 |
| Value | Count | Frequency (%) |
| 21 | 1 | < 0.1% |
| 19 | 3 | < 0.1% |
| 18 | 7 | 0.1% |
| 17 | 7 | 0.1% |
| 16 | 15 | 0.2% |
| 15 | 14 | 0.1% |
| 14 | 25 | 0.3% |
| 13 | 26 | |
| 12 | 48 | |
| 11 | 64 |
WonLastRace
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 482.5 KiB |
| 0 | |
|---|---|
| 1 | 443 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9879 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 9436 | |
| 1 | 443 | 4.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 9436 | |
| 1 | 443 | 4.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 9436 | |
| 1 | 443 | 4.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9879 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 9436 | |
| 1 | 443 | 4.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9879 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 9436 | |
| 1 | 443 | 4.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9879 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 9436 | |
| 1 | 443 | 4.5% |
WonLast2Races
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 482.5 KiB |
| 0 | |
|---|---|
| 1 | 883 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9879 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 8996 | |
| 1 | 883 | 8.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 8996 | |
| 1 | 883 | 8.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 8996 | |
| 1 | 883 | 8.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9879 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 8996 | |
| 1 | 883 | 8.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9879 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 8996 | |
| 1 | 883 | 8.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9879 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 8996 | |
| 1 | 883 | 8.9% |
WonLast3Races
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 482.5 KiB |
| 0 | |
|---|---|
| 1 | 539 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9879 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 9340 | |
| 1 | 539 | 5.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 9340 | |
| 1 | 539 | 5.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 9340 | |
| 1 | 539 | 5.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9879 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 9340 | |
| 1 | 539 | 5.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9879 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 9340 | |
| 1 | 539 | 5.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9879 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 9340 | |
| 1 | 539 | 5.5% |
WonLast4Races
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 482.5 KiB |
| 0 | |
|---|---|
| 1 | 371 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9879 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 9508 | |
| 1 | 371 | 3.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 9508 | |
| 1 | 371 | 3.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 9508 | |
| 1 | 371 | 3.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9879 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 9508 | |
| 1 | 371 | 3.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9879 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 9508 | |
| 1 | 371 | 3.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9879 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 9508 | |
| 1 | 371 | 3.8% |
WonLast5Races
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 482.5 KiB |
| 0 | |
|---|---|
| 1 | 267 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9879 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 9612 | |
| 1 | 267 | 2.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 9612 | |
| 1 | 267 | 2.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 9612 | |
| 1 | 267 | 2.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9879 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 9612 | |
| 1 | 267 | 2.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9879 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 9612 | |
| 1 | 267 | 2.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9879 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 9612 | |
| 1 | 267 | 2.7% |
WonLast6Races
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 482.5 KiB |
| 0 | |
|---|---|
| 1 | 191 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9879 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 9688 | |
| 1 | 191 | 1.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 9688 | |
| 1 | 191 | 1.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 9688 | |
| 1 | 191 | 1.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9879 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 9688 | |
| 1 | 191 | 1.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9879 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 9688 | |
| 1 | 191 | 1.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9879 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 9688 | |
| 1 | 191 | 1.9% |
WonLast7Races
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 482.5 KiB |
| 0 | |
|---|---|
| 1 | 128 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9879 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 9751 | |
| 1 | 128 | 1.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 9751 | |
| 1 | 128 | 1.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 9751 | |
| 1 | 128 | 1.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9879 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 9751 | |
| 1 | 128 | 1.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9879 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 9751 | |
| 1 | 128 | 1.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9879 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 9751 | |
| 1 | 128 | 1.3% |
WonLast10Races
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 482.5 KiB |
| 0 | |
|---|---|
| 1 | 44 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9879 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 9835 | |
| 1 | 44 | 0.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 9835 | |
| 1 | 44 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 9835 | |
| 1 | 44 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9879 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 9835 | |
| 1 | 44 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9879 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 9835 | |
| 1 | 44 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9879 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 9835 | |
| 1 | 44 | 0.4% |
Top3Last5Races
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 482.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9879 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 8813 | |
| 1 | 1066 | 10.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 8813 | |
| 1 | 1066 | 10.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 8813 | |
| 1 | 1066 | 10.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9879 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 8813 | |
| 1 | 1066 | 10.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9879 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 8813 | |
| 1 | 1066 | 10.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9879 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 8813 | |
| 1 | 1066 | 10.8% |
Top5Last10Races
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 482.5 KiB |
| 0 | |
|---|---|
| 1 | 591 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9879 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 9288 | |
| 1 | 591 | 6.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 9288 | |
| 1 | 591 | 6.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 9288 | |
| 1 | 591 | 6.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9879 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 9288 | |
| 1 | 591 | 6.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9879 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 9288 | |
| 1 | 591 | 6.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9879 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 9288 | |
| 1 | 591 | 6.0% |
| AverageSpeed | CircuitID | ConstructorName | ConstructorNationality | DifferenceGridPosition | DriverNationality | Grid | Nationality | Points | Position | Round | Season | Top3Last5Races | Top5Last10Races | WonLast10Races | WonLast2Races | WonLast3Races | WonLast4Races | WonLast5Races | WonLast6Races | WonLast7Races | WonLastRace | constructorId | country | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AverageSpeed | 1.000 | 0.511 | 0.218 | 0.116 | 0.075 | 0.101 | -0.104 | 0.101 | 0.214 | -0.200 | 0.065 | 0.417 | 0.093 | 0.069 | 0.000 | 0.072 | 0.054 | 0.053 | 0.051 | 0.041 | 0.029 | 0.028 | 0.218 | 0.474 |
| CircuitID | 0.511 | 1.000 | 0.058 | 0.054 | 0.040 | 0.000 | 0.000 | 0.000 | 0.031 | 0.000 | 0.656 | 0.279 | 0.230 | 0.297 | 0.091 | 0.142 | 0.122 | 0.106 | 0.107 | 0.102 | 0.111 | 0.000 | 0.058 | 1.000 |
| ConstructorName | 0.218 | 0.058 | 1.000 | 0.999 | 0.102 | 0.376 | 0.322 | 0.376 | 0.246 | 0.228 | 0.021 | 0.435 | 0.461 | 0.360 | 0.121 | 0.436 | 0.357 | 0.323 | 0.291 | 0.261 | 0.222 | 0.292 | 1.000 | 0.048 |
| ConstructorNationality | 0.116 | 0.054 | 0.999 | 1.000 | 0.068 | 0.390 | 0.251 | 0.390 | 0.196 | 0.172 | 0.000 | 0.251 | 0.342 | 0.289 | 0.122 | 0.324 | 0.269 | 0.256 | 0.230 | 0.207 | 0.205 | 0.232 | 0.999 | 0.038 |
| DifferenceGridPosition | 0.075 | 0.040 | 0.102 | 0.068 | 1.000 | 0.060 | 0.470 | 0.060 | 0.235 | -0.398 | -0.001 | -0.041 | 0.182 | 0.126 | 0.044 | 0.161 | 0.143 | 0.126 | 0.112 | 0.085 | 0.073 | 0.133 | 0.102 | 0.035 |
| DriverNationality | 0.101 | 0.000 | 0.376 | 0.390 | 0.060 | 1.000 | 0.185 | 1.000 | 0.153 | 0.132 | 0.000 | 0.277 | 0.262 | 0.196 | 0.133 | 0.261 | 0.239 | 0.225 | 0.212 | 0.197 | 0.190 | 0.192 | 0.376 | 0.000 |
| Grid | -0.104 | 0.000 | 0.322 | 0.251 | 0.470 | 0.185 | 1.000 | 0.185 | -0.598 | 0.561 | -0.003 | -0.059 | 0.438 | 0.319 | 0.135 | 0.466 | 0.410 | 0.358 | 0.291 | 0.249 | 0.232 | 0.355 | 0.322 | 0.000 |
| Nationality | 0.101 | 0.000 | 0.376 | 0.390 | 0.060 | 1.000 | 0.185 | 1.000 | 0.153 | 0.132 | 0.000 | 0.277 | 0.262 | 0.196 | 0.133 | 0.261 | 0.239 | 0.225 | 0.212 | 0.197 | 0.190 | 0.192 | 0.376 | 0.000 |
| Points | 0.214 | 0.031 | 0.246 | 0.196 | 0.235 | 0.153 | -0.598 | 0.153 | 1.000 | -0.877 | 0.022 | 0.184 | 0.416 | 0.343 | 0.242 | 0.430 | 0.391 | 0.370 | 0.345 | 0.338 | 0.338 | 0.324 | 0.246 | 0.010 |
| Position | -0.200 | 0.000 | 0.228 | 0.172 | -0.398 | 0.132 | 0.561 | 0.132 | -0.877 | 1.000 | -0.006 | -0.038 | 0.439 | 0.318 | 0.132 | 0.441 | 0.385 | 0.336 | 0.294 | 0.263 | 0.229 | 0.320 | 0.228 | 0.000 |
| Round | 0.065 | 0.656 | 0.021 | 0.000 | -0.001 | 0.000 | -0.003 | 0.000 | 0.022 | -0.006 | 1.000 | 0.093 | 0.272 | 0.341 | 0.105 | 0.167 | 0.156 | 0.145 | 0.141 | 0.136 | 0.139 | 0.000 | 0.021 | 0.615 |
| Season | 0.417 | 0.279 | 0.435 | 0.251 | -0.041 | 0.277 | -0.059 | 0.277 | 0.184 | -0.038 | 0.093 | 1.000 | 0.045 | 0.102 | 0.060 | 0.050 | 0.028 | 0.030 | 0.037 | 0.037 | 0.060 | 0.000 | 0.435 | 0.231 |
| Top3Last5Races | 0.093 | 0.230 | 0.461 | 0.342 | 0.182 | 0.262 | 0.438 | 0.262 | 0.416 | 0.439 | 0.272 | 0.045 | 1.000 | 0.672 | 0.190 | 0.679 | 0.638 | 0.553 | 0.478 | 0.402 | 0.328 | 0.329 | 0.461 | 0.214 |
| Top5Last10Races | 0.069 | 0.297 | 0.360 | 0.289 | 0.126 | 0.196 | 0.319 | 0.196 | 0.343 | 0.318 | 0.341 | 0.102 | 0.672 | 1.000 | 0.262 | 0.489 | 0.498 | 0.488 | 0.462 | 0.459 | 0.426 | 0.237 | 0.360 | 0.285 |
| WonLast10Races | 0.000 | 0.091 | 0.121 | 0.122 | 0.044 | 0.133 | 0.135 | 0.133 | 0.242 | 0.132 | 0.105 | 0.060 | 0.190 | 0.262 | 1.000 | 0.211 | 0.275 | 0.334 | 0.397 | 0.471 | 0.577 | 0.195 | 0.121 | 0.091 |
| WonLast2Races | 0.072 | 0.142 | 0.436 | 0.324 | 0.161 | 0.261 | 0.466 | 0.261 | 0.430 | 0.441 | 0.167 | 0.050 | 0.679 | 0.489 | 0.211 | 1.000 | 0.766 | 0.630 | 0.531 | 0.447 | 0.364 | 0.476 | 0.436 | 0.138 |
| WonLast3Races | 0.054 | 0.122 | 0.357 | 0.269 | 0.143 | 0.239 | 0.410 | 0.239 | 0.391 | 0.385 | 0.156 | 0.028 | 0.638 | 0.498 | 0.275 | 0.766 | 1.000 | 0.821 | 0.692 | 0.583 | 0.475 | 0.464 | 0.357 | 0.114 |
| WonLast4Races | 0.053 | 0.106 | 0.323 | 0.256 | 0.126 | 0.225 | 0.358 | 0.225 | 0.370 | 0.336 | 0.145 | 0.030 | 0.553 | 0.488 | 0.334 | 0.630 | 0.821 | 1.000 | 0.842 | 0.709 | 0.578 | 0.432 | 0.323 | 0.101 |
| WonLast5Races | 0.051 | 0.107 | 0.291 | 0.230 | 0.112 | 0.212 | 0.291 | 0.212 | 0.345 | 0.294 | 0.141 | 0.037 | 0.478 | 0.462 | 0.397 | 0.531 | 0.692 | 0.842 | 1.000 | 0.840 | 0.685 | 0.394 | 0.291 | 0.100 |
| WonLast6Races | 0.041 | 0.102 | 0.261 | 0.207 | 0.085 | 0.197 | 0.249 | 0.197 | 0.338 | 0.263 | 0.136 | 0.037 | 0.402 | 0.459 | 0.471 | 0.447 | 0.583 | 0.709 | 0.840 | 1.000 | 0.813 | 0.355 | 0.261 | 0.098 |
| WonLast7Races | 0.029 | 0.111 | 0.222 | 0.205 | 0.073 | 0.190 | 0.232 | 0.190 | 0.338 | 0.229 | 0.139 | 0.060 | 0.328 | 0.426 | 0.577 | 0.364 | 0.475 | 0.578 | 0.685 | 0.813 | 1.000 | 0.336 | 0.222 | 0.107 |
| WonLastRace | 0.028 | 0.000 | 0.292 | 0.232 | 0.133 | 0.192 | 0.355 | 0.192 | 0.324 | 0.320 | 0.000 | 0.000 | 0.329 | 0.237 | 0.195 | 0.476 | 0.464 | 0.432 | 0.394 | 0.355 | 0.336 | 1.000 | 0.292 | 0.000 |
| constructorId | 0.218 | 0.058 | 1.000 | 0.999 | 0.102 | 0.376 | 0.322 | 0.376 | 0.246 | 0.228 | 0.021 | 0.435 | 0.461 | 0.360 | 0.121 | 0.436 | 0.357 | 0.323 | 0.291 | 0.261 | 0.222 | 0.292 | 1.000 | 0.048 |
| country | 0.474 | 1.000 | 0.048 | 0.038 | 0.035 | 0.000 | 0.000 | 0.000 | 0.010 | 0.000 | 0.615 | 0.231 | 0.214 | 0.285 | 0.091 | 0.138 | 0.114 | 0.101 | 0.100 | 0.098 | 0.107 | 0.000 | 0.048 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Season | Round | CircuitID | country | ConstructorName | constructorId | ConstructorNationality | DriverID | DriverName | DriverNationality | Nationality | Position | Points | Grid | Status | AverageSpeed | DifferenceGridPosition | WonLastRace | WonLast2Races | WonLast3Races | WonLast4Races | WonLast5Races | WonLast6Races | WonLast7Races | WonLast10Races | Top3Last5Races | Top5Last10Races | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2000 | 1 | albert_park | Australia | Arrows | arrows | British | rosa | Pedro | Spanish | Spanish | 20 | 0.0 | 12 | Suspension | 0.0 | -8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 2000 | 1 | albert_park | Australia | Arrows | arrows | British | verstappen | Jos | Dutch | Dutch | 18 | 0.0 | 13 | Suspension | 0.0 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | 2000 | 1 | albert_park | Australia | BAR | bar | British | villeneuve | Jacques | Canadian | Canadian | 4 | 3.0 | 8 | Finished | 0.0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | 2000 | 1 | albert_park | Australia | BAR | bar | British | zonta | Ricardo | Brazilian | Brazilian | 6 | 1.0 | 16 | Finished | 0.0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | 2000 | 1 | albert_park | Australia | Benetton | benetton | Italian | fisichella | Giancarlo | Italian | Italian | 5 | 2.0 | 9 | Finished | 0.0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | 2000 | 1 | albert_park | Australia | Benetton | benetton | Italian | wurz | Alexander | Austrian | Austrian | 7 | 0.0 | 14 | Finished | 0.0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6 | 2000 | 1 | albert_park | Australia | Ferrari | ferrari | Italian | barrichello | Rubens | Brazilian | Brazilian | 2 | 6.0 | 4 | Finished | 0.0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 7 | 2000 | 1 | albert_park | Australia | Ferrari | ferrari | Italian | michael_schumacher | Michael | German | German | 1 | 10.0 | 3 | Finished | 0.0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | 2000 | 1 | albert_park | Australia | Jaguar | jaguar | British | herbert | Johnny | British | British | 22 | 0.0 | 20 | Clutch | 0.0 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | 2000 | 1 | albert_park | Australia | Jaguar | jaguar | British | irvine | Eddie | British | British | 21 | 0.0 | 7 | Spun off | 0.0 | -14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Season | Round | CircuitID | country | ConstructorName | constructorId | ConstructorNationality | DriverID | DriverName | DriverNationality | Nationality | Position | Points | Grid | Status | AverageSpeed | DifferenceGridPosition | WonLastRace | WonLast2Races | WonLast3Races | WonLast4Races | WonLast5Races | WonLast6Races | WonLast7Races | WonLast10Races | Top3Last5Races | Top5Last10Races | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9869 | 2024 | 14 | spa | Belgium | Mercedes | mercedes | German | hamilton | Lewis | British | British | 1 | 25.0 | 3 | Finished | 235.399 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9870 | 2024 | 14 | spa | Belgium | Mercedes | mercedes | German | russell | George | British | British | 20 | 0.0 | 6 | Disqualified | 224.929 | -14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9871 | 2024 | 14 | spa | Belgium | RB F1 Team | rb | Italian | ricciardo | Daniel | Australian | Australian | 10 | 1.0 | 13 | Finished | 235.743 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9872 | 2024 | 14 | spa | Belgium | RB F1 Team | rb | Italian | tsunoda | Yuki | Japanese | Japanese | 16 | 0.0 | 20 | Finished | 235.606 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9873 | 2024 | 14 | spa | Belgium | Red Bull | red_bull | Austrian | max_verstappen | Max | Dutch | Dutch | 4 | 12.0 | 11 | Finished | 235.619 | 7 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 |
| 9874 | 2024 | 14 | spa | Belgium | Red Bull | red_bull | Austrian | perez | Sergio | Mexican | Mexican | 7 | 7.0 | 2 | Finished | 237.057 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9875 | 2024 | 14 | spa | Belgium | Sauber | sauber | Swiss | bottas | Valtteri | Finnish | Finnish | 15 | 0.0 | 14 | Finished | 233.795 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9876 | 2024 | 14 | spa | Belgium | Sauber | sauber | Swiss | zhou | Guanyu | Chinese | Chinese | 19 | 0.0 | 19 | Retired | 231.422 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9877 | 2024 | 14 | spa | Belgium | Williams | williams | British | albon | Alexander | Thai | Thai | 12 | 0.0 | 10 | Finished | 233.239 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9878 | 2024 | 14 | spa | Belgium | Williams | williams | British | sargeant | Logan | American | American | 17 | 0.0 | 18 | Finished | 233.533 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |